Adaptive control of a class of linear stochastic systems with continuous and discrete unknown parameters

DOI10.1080/00207178208932953zbMath0493.93049OpenAlexW2013098156MaRDI QIDQ3956834

Hiroshi Takeda, Tadashi Ishihara

Publication date: 1982

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207178208932953

zbMATH Keywords

Kalman filterssuboptimal controlopen-loop feedbackoptimal state and parameter estimator

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Monte Carlo methods (65C05) Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Stochastic systems in control theory (general) (93E03)

Related Items (1)

Adaptive controller for minimum phase multi-input multi-output systems

Cites Work

• A learning approach to the parameter-adaptive self-organizing control problem
• Adaptive control of linear stochastic systems
• Adaptive stochastic control for a class of linear systems
• Toward a computationally efficient optimal solution to the LQG discrete-time dual control problem
• Analysis of recursive stochastic algorithms
• On the adaptive control of linear systems using the open-loop-feedback-optimal approach
• An actively adaptive control for linear systems with random parameters via the dual control approach

This page was built for publication: Adaptive control of a class of linear stochastic systems with continuous and discrete unknown parameters